Remove Large Language Models Remove Natural Language Processing Remove UX Design
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Ivan Crewkov CEO & Co-Founder of Buddy AI – Interview Series

Unite.AI

What applies to smart homes does not apply to early learning, from technologies to UX design. We decided that Buddy would be a multimodal AI tutor – an animated pedagogical agent capable of voice recognition and natural language processing. BLM (Buddy's language model) — Conversational AI Engine for Children.

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The Future of Software Engineering: LLMs and Beyond

Heartbeat

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

professionals

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Building AI Products With A Holistic Mental Model

Topbots

The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, UX designers, data scientists, engineers, and other team members.

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Creating An Information Edge With Conversational Access To Data

Topbots

In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; Evaluating the Text-to-SQL Capabilities of Large Language Models [3] Naihao Deng et al.

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Redefining Conversational AI with Large Language Models

Topbots

After considering the market opportunities and the business value of conversational AI systems, we will explain the additional “machinery” in terms of data, LLM fine-tuning, and conversational design that needs to be set up to make conversations not only possible but also useful and enjoyable. Figure 1: Mental model of an AI system (cf.

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Natural Language Assessment: A New Framework to Promote Education

Google Research AI blog

In the field of natural language processing, this type of capability has not received much attention and is technologically challenging. Our solution is to break each topic into granular components that can be identified using large language models (LLMs) with a straightforward generic tuning.